Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions
AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …
applied to many areas in different domains such as health care and drug design. Cancer …
Artificial intelligence in CT and MR imaging for oncological applications
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …
detected late and at an inoperable stage. Early or incidental detection is associated with …
Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
The systematic review of artificial intelligence applications in breast cancer diagnosis
Several studies have demonstrated the value of artificial intelligence (AI) applications in
breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis …
breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis …
Causality-driven graph neural network for early diagnosis of pancreatic cancer in non-contrast computerized tomography
X Li, R Guo, J Lu, T Chen, X Qian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pancreatic cancer is the emperor of all cancer maladies, mainly because there are no
characteristic symptoms in the early stages, resulting in the absence of effective screening …
characteristic symptoms in the early stages, resulting in the absence of effective screening …
Fully automatic deep learning framework for pancreatic ductal adenocarcinoma detection on computed tomography
Simple Summary Early image-based diagnosis is crucial to improve outcomes in pancreatic
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …
Artificial intelligence-driven diagnosis of pancreatic cancer
BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …
Pancreatic cancer in chronic pancreatitis: pathogenesis and diagnostic approach
G Le Cosquer, C Maulat, B Bournet, P Cordelier… - Cancers, 2023 - mdpi.com
Simple Summary Chronic alcoholic pancreatitis displays a cumulative risk of pancreatic
cancer estimated at 4% after 15 to 20 years, this risk being higher for hereditary pancreatitis …
cancer estimated at 4% after 15 to 20 years, this risk being higher for hereditary pancreatitis …